Jezično modeliranje hrvatskoga jezika modelima dubokoga učenja

Vidak, Sven

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master's thesis

Jezično modeliranje hrvatskoga jezika modelima dubokoga učenja

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. urn:nbn:hr:168:446792

Vidak, Sven

University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

APA 6th Edition

Vidak, S. (2016). Jezično modeliranje hrvatskoga jezika modelima dubokoga učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:446792

MLA 8th Edition

Vidak, Sven. "Jezično modeliranje hrvatskoga jezika modelima dubokoga učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:446792

Chicago 17th Edition

Harvard

Vidak, S. (2016). 'Jezično modeliranje hrvatskoga jezika modelima dubokoga učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:446792

Vancouver

Vidak S. Jezično modeliranje hrvatskoga jezika modelima dubokoga učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:446792

IEEE

S. Vidak, "Jezično modeliranje hrvatskoga jezika modelima dubokoga učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:446792

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:446792

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Metadata

Title	Jezično modeliranje hrvatskoga jezika modelima dubokoga učenja
Title (english)	Deep Learning for Language Modeling of the Croatian Language
Author	Sven Vidak
Mentor	Jan Šnajder (mentor)
Committee member	Jan Šnajder (predsjednik povjerenstva)
Committee member	Marko Čupić (član povjerenstva)
Committee member	Siniša Šegvić (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing Zagreb
Defense date and country	2016-07-05, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Computing
Abstract	Jezično modeliranje jedan je od osnovnih problema unutar područja obrade prirodnog jezika. Sposobnost računala da samostalno generira ili razumije tekst omogućava da mobitelom ili računalom upravljavmo pomoću glasa, ali i da komu- niciramo s njima. Pojavom dubokog učenja i povećanjem interesa znanstvenika za područje neuronskih mreža došlo je do razvoja metoda koje su omogućile izni- man napredak na području jezičnog modeliranja, ali i drugih područja. U okviru ovog rada proučeni su tipovi neuronskih mreža koje se koriste za problem je- zičnog modeliranja, načini njihovog učenja i neke naprednije metode koje daju danas najbolje poznate rezultate. Dana je usporedba tih metoda s klasičnim me- todama jezičnog modeliranja koje se temelje ne statistici te su opisani problemi koje te metode imaju i dani su savjeti za rješavanje tih problema. Naučeni modeli primijenjeni su na problem samostalnog generiranja teksta te ispravljanja krivo prepoznatog teksta tokom postupka optičkog prepoznavanja. Dobiveni rezultati su očekivani, ali svakako mogu biti bolji ako se uloži više vremena u proces učenja neuronskih mreža.
Abstract (english)	Language modeling is one of the basic problem in natural language processing. Ability of the computers to generate or understand a text (or a sound) enables us to communicate with them or to instruct them to achieve some goal. Deep learning and greater interest in neural networks led to the development of new and efficient techniques that achieve significant progress in language modeling and other areas. This thesis gave an overview of neural networks used for language modeling problems, algorithms used to train them and some advanced techniques that give state of the art results. Comparison of neural networks and standard language modeling techbiques is givven and it is also shown that neural networks have some problems that can be solved using advanced models. Learnt models are used for text generation and optical character recognition correction. Obtained results are expected, although not best possible which can be achieved with more training time.
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:168:446792
Study programme	Title: Computing Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resource	Text
File origin	Born digital
Access conditions	Closed access
Terms of use
Public note
Repository	FER Repository
Created on	2018-02-06 14:17:50